| Predicted Trait | |
| Reported Trait | Asthma (diagnosed by doctor) | 
| Mapped Trait(s) | asthma (MONDO_0004979) | 
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN22127 | 
| Score Construction | |
| PGS Name | GBE_BIN22127 | 
| Development Method | |
| Name | snpnet | 
| Parameters | NR | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 435 | 
| Effect Weight Type | NR | 
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000244 | 
| Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) | 
| Ancestry Distribution | |
| Score Development/Training | European: 100% 68,835 individuals (100%)  | 
| PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets  | 
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information | 
|---|---|---|---|---|---|---|---|---|
| — | [ 
  | 
                        
                            European | UKB | — | — | — | white British ancestry | — | 
| 
                          PGS Performance Metric ID (PPM)  | 
                    
                        
                          PGS Sample Set ID (PSS)  | 
                    
                        Performance Source | Trait | 
                          PGS Effect Sizes (per SD change)  | 
                    
                        Classification Metrics | Other Metrics | Covariates Included in the Model | 
                          PGS Performance: Other Relevant Information  | 
                    
                    
|---|---|---|---|---|---|---|---|---|
| PPM009206 | PSS003676| African Ancestry| 516 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Doctor diagnosed asthma | — | AUROC: 0.66261 [0.59914, 0.72609] | R²: 0.07843 Incremental AUROC (full-covars): 0.01462 PGS R2 (no covariates): 0.00704 PGS AUROC (no covariates): 0.54765 [0.47414, 0.62116]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009207 | PSS003677| East Asian Ancestry| 245 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Doctor diagnosed asthma | — | AUROC: 0.67066 [0.56822, 0.7731] | R²: 0.10676 Incremental AUROC (full-covars): 0.02219 PGS R2 (no covariates): 0.03135 PGS AUROC (no covariates): 0.60951 [0.50092, 0.71811]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009208 | PSS003678| European Ancestry| 5,959 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Doctor diagnosed asthma | — | AUROC: 0.59515 [0.57415, 0.61614] | R²: 0.02426 Incremental AUROC (full-covars): 0.0264 PGS R2 (no covariates): 0.01031 PGS AUROC (no covariates): 0.56199 [0.54029, 0.58369]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009209 | PSS003679| South Asian Ancestry| 707 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Doctor diagnosed asthma | — | AUROC: 0.63251 [0.57541, 0.68961] | R²: 0.04811 Incremental AUROC (full-covars): 0.0046 PGS R2 (no covariates): 0.00714 PGS AUROC (no covariates): 0.53871 [0.47553, 0.60189]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| PPM009210 | PSS003680| European Ancestry| 17,244 individuals  | 
                        
                            PGP000244 | Tanigawa Y et al. PLoS Genet (2022)  | 
                        
                            Reported Trait: Doctor diagnosed asthma | — | AUROC: 0.60258 [0.58999, 0.61516] | R²: 0.02879 Incremental AUROC (full-covars): 0.03437 PGS R2 (no covariates): 0.01667 PGS AUROC (no covariates): 0.57923 [0.56641, 0.59204]  | 
                        
                            age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method | 
| 
                          PGS Sample Set ID (PSS)  | 
                    
                        Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information | 
|---|---|---|---|---|---|---|---|---|
| PSS003676 | — | — | [ 
  | 
                        
                            — | African unspecified | — | UKB | — | 
| PSS003677 | — | — | [ 
  | 
                        
                            — | East Asian | — | UKB | — | 
| PSS003678 | — | — | [ 
  | 
                        
                            — | European | non-white British ancestry | UKB | — | 
| PSS003679 | — | — | [ 
  | 
                        
                            — | South Asian | — | UKB | — | 
| PSS003680 | — | — | [ 
  | 
                        
                            — | European | white British ancestry | UKB | Testing cohort (heldout set) |